Isobaric heat capacity in non-reacting and in reacting systems
文献情報
The isobaric heat capacity in non-reacting and in reacting systems has been analysed. The isobaric heat capacity Cp in non-reacting systems depends on continuous distribution of enthalpy levels, according to the statistical thermodynamic model. The heat capacity in non-reacting systems is measured by supplying heat to the system and is related to the distribution of molecules either among enthalpy levels or among entropy configurations without any possibility of distinction. The isobaric heat capacity ΔCp,app in reacting systems is related to changes in distribution of molecules among enthalpy levels separated by well defined large differences ΔH as assigned by the model. Therefore, the isobaric heat capacity is apparent because it depends also on the heat intrinsically produced by the reaction inside the system. The heat capacity ΔCp,app produced by changes of temperature in differential scanning calorimetry experiments is bound to changes of association fraction α(T) inside the system. It is shown how the denaturation heat determined by integration of the experimental curve can be reproduced by integration of the function of the association fractions in a two-state denaturation process. The treatment has been extended to macromolecules constituted by different domains giving origin to more complex profiles at the denaturation.
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掲載誌
Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.










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